Yi Zhang1,2,1, Xuan Shao1,2,1, Chenyi Gao1,2,1, Danying Xu1, Jun Wu2, Xuan Zhu3, Zhigang Chen1,2. 1. Department of Breast Surgery and Oncology, Key Laboratory of Cancer Prevention and Intervention, National Ministry of Education, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China. 2. Key Laboratory of Tumor Microenvironment and Immune Therapy of Zhejiang Province, Hangzhou, Zhejiang, China. 3. Department of Radiation Oncology, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, Zhejiang, China.
Abstract
BACKGROUND: FAS can serve as both an oncogene and a suppresser in different malignancies, and the prognostic value of FAS remains controversial. METHODS: The Oncomine database, KM-Plotter and bc-GenExMiner platform were adopted to analyze the prognostic value of FAS in breast cancer. Breast cancer tissue microarrays were further used to verify these data. The Cell Miner Tool was used to predict the value of FAS mRNA expression in predicting the efficacies of clinical drugs. RESULTS: We found that both FAS mRNA and protein expression level significantly reduced in breast carcinoma. In addition, high FAS expression indicates a better metastatic relapse-free survival. Interestingly, FAS was associated with a better prognosis in different subtypes of breast cancer patients, namely, only in grade II and III, lymph nodal positive or p53 wild-type patients. The data from the Cell Miner Tool revealed that FAS mRNA expression was correlated with the efficacy of the first-line chemotherapeutic taxane agents and target drugs including olaparib and everolimus. CONCLUSIONS: FAS expression correlates with a better prognosis in breast cancer and may provide an effective clinical strategy to predict the sensitivity of taxanes and targeted drugs.
BACKGROUND: FAS can serve as both an oncogene and a suppresser in different malignancies, and the prognostic value of FAS remains controversial. METHODS: The Oncomine database, KM-Plotter and bc-GenExMiner platform were adopted to analyze the prognostic value of FAS in breast cancer. Breast cancer tissue microarrays were further used to verify these data. The Cell Miner Tool was used to predict the value of FAS mRNA expression in predicting the efficacies of clinical drugs. RESULTS: We found that both FAS mRNA and protein expression level significantly reduced in breast carcinoma. In addition, high FAS expression indicates a better metastatic relapse-free survival. Interestingly, FAS was associated with a better prognosis in different subtypes of breast cancer patients, namely, only in grade II and III, lymph nodal positive or p53 wild-type patients. The data from the Cell Miner Tool revealed that FAS mRNA expression was correlated with the efficacy of the first-line chemotherapeutic taxane agents and target drugs including olaparib and everolimus. CONCLUSIONS: FAS expression correlates with a better prognosis in breast cancer and may provide an effective clinical strategy to predict the sensitivity of taxanes and targeted drugs.
Entities:
Keywords:
FAS; breast cancer; efficacy of drugs; prognosis